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Article: WeChat Continuity Nursing on Postpartum Depression and Quality of Life in Primipara Undergoing Cesarean Delivery.

Wang, Haiyan / Wu, Hongyun / Zhang, Yingping / Ding, Qipei

Alternative therapies in health and medicine

2024

Abstract: Objective: To assess the effectiveness of WeChat-based continuity nursing in reducing postpartum depression and improving the quality of life among primiparous women undergoing cesarean delivery.: Methods: A total of 200 patients who intended to ... ...

Abstract	Objective: To assess the effectiveness of WeChat-based continuity nursing in reducing postpartum depression and improving the quality of life among primiparous women undergoing cesarean delivery. Methods: A total of 200 patients who intended to undergo cesarean delivery in our hospital between January 2021 and January 2022 were recruited for this study, including 20 patients who refused to participate in the study and 30 patients who did not meet the criteria of this study for various reasons, and a total of 150 cases were finally included. All participants were assigned 1:1 into the control group and observation group according to the time of the first pregnancy test and the primiparous in the observation group were given WeChat continuity nursing, and the primiparous in the control group was given routine obstetric care. WeChat continuity nursing included establishment of continuity nursing team, WeChat group setup and communication, education and support, and psychological counseling and follow-up. The baseline data of all mothers were collected and recorded, and the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS), quality of life scores, maternal and infant complications, and the satisfaction rate of care were compared between the two groups. Results: The SAS and SDS scores of the observation group were consistently lower than those of the control group at 1, 3, and 6 months post-hospital discharge (P < .01). Following the implementation of WeChat continuity nursing intervention, patients in the observation group demonstrated significant improvements in mental health, physical function, somatic pain, vitality, and social function scores compared to the control group (P < .01). Additionally, the incidence of complications was notably lower in the observation group, including reduced rates of incisional infection, breast swelling, unclear dew, abnormal defecation among mothers, and decreased occurrence of breech redness, umbilical cord issues, eczema, and delayed umbilical cord detachment among infants (P < .05). Moreover, the satisfaction rate among patients in the observation group was significantly higher than that of the control group (95.507% vs. 84.058%) (P < .05). These findings highlight the efficacy and importance of integrating WeChat continuity nursing intervention into postpartum care practices. Conclusion: Our study strongly supports the effectiveness of WeChat continuity nursing intervention in improving postpartum mental health, reducing complications, and increasing patient satisfaction. These findings suggest the potential for integrating digital nursing interventions into standard postpartum care practices, offering personalized and accessible healthcare services. Policymakers and healthcare providers should consider adopting such interventions to optimize postpartum outcomes and enhance patient experiences.
Language	English
Publishing date	2024-03-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	1225073-9
ISSN	1078-6791
ISSN	1078-6791
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Evaluating ChatGPT-4.0's data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R.

Huang, Yeen / Wu, Ruipeng / He, Juntao / Xiang, Yingping

Journal of global health

2024 Volume 14, Page(s) 4070

Abstract: Background: OpenAI's Chat Generative Pre-trained Transformer 4.0 (ChatGPT-4), an emerging artificial intelligence (AI)-based large language model (LLM), has been receiving increasing attention from the medical research community for its innovative 'Data ...

Abstract	Background: OpenAI's Chat Generative Pre-trained Transformer 4.0 (ChatGPT-4), an emerging artificial intelligence (AI)-based large language model (LLM), has been receiving increasing attention from the medical research community for its innovative 'Data Analyst' feature. We aimed to compare the capabilities of ChatGPT-4 against traditional biostatistical software (i.e. SAS, SPSS, R) in statistically analysing epidemiological research data. Methods: We used a data set from the China Health and Nutrition Survey, comprising 9317 participants and 29 variables (e.g. gender, age, educational level, marital status, income, occupation, weekly working hours, survival status). Two researchers independently evaluated the data analysis capabilities of GPT-4's 'Data Analyst' feature against SAS, SPSS, and R across three commonly used epidemiological analysis methods: Descriptive statistics, intergroup analysis, and correlation analysis. We used an internally developed evaluation scale to assess and compare the consistency of results, analytical efficiency of coding or operations, user-friendliness, and overall performance between ChatGPT-4, SAS, SPSS, and R. Results: In descriptive statistics, ChatGPT-4 showed high consistency of results, greater analytical efficiency of code or operations, and more intuitive user-friendliness compared to SAS, SPSS, and R. In intergroup comparisons and correlational analyses, despite minor discrepancies in statistical outcomes for certain analysis tasks with SAS, SPSS, and R, ChatGPT-4 maintained high analytical efficiency and exceptional user-friendliness. Thus, employing ChatGPT-4 can significantly lower the operational threshold for conducting epidemiological data analysis while maintaining consistency with traditional biostatistical software's outcome, requiring only specific, clear analysis instructions without any additional operations or code writing. Conclusions: We found ChatGPT-4 to be a powerful auxiliary tool for statistical analysis in epidemiological research. However, it showed limitations in result consistency and in applying more advanced statistical methods. Therefore, we advocate for the use of ChatGPT-4 in supporting researchers with intermediate experience in data analysis. With AI technologies like LLMs advancing rapidly, their integration with data analysis platforms promises to lower operational barriers, thereby enabling researchers to dedicate greater focus to the nuanced interpretation of analysis results. This development is likely to significantly advance epidemiological and medical research.
MeSH term(s)	Humans ; Artificial Intelligence ; Data Science ; Epidemiologic Studies ; Research Design ; Biomedical Research
Language	English
Publishing date	2024-03-29
Publishing country	Scotland
Document type	Journal Article
ZDB-ID	2741629-X
ISSN	2047-2986 ; 2047-2986
ISSN (online)	2047-2986
ISSN	2047-2986
DOI	10.7189/jogh.14.04070
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Social innovation and higher education

Yenchun Jim Wu / Mark Goh / Yingping Mai

Humanities & Social Sciences Communications, Vol 10, Iss 1, Pp 1-

evolution and future promise

2023 Volume 14

Abstract: Abstract Scholarly attention to social innovation has increased rapidly in recent years, but a broad picture to illustrate the structure of the field, tracing its evolution and identifying new research areas has been lacking. Thus, we conduct a three- ... ...

Abstract	Abstract Scholarly attention to social innovation has increased rapidly in recent years, but a broad picture to illustrate the structure of the field, tracing its evolution and identifying new research areas has been lacking. Thus, we conduct a three-step method to explore the trajectory of academic research on social innovation and identify potential research opportunities. In the first step, the bibliometric mapping software VOSviewer is used to visualize the network of authors and keyword co-occurrences. Next, SciMAT is applied to illustrate the evolution and importance of the themes. Then, content analysis is used to identify how specific research topics in social innovation in higher education have evolved. The author-keyword occurrence analysis and evolution map results reveal that innovation and design thinking were the most prominent keywords, and the citation analysis indicates that the works of Swyngedouw, Moulaert, and Westley as the leading research works in this field. The most influential countries during the study period from 1996 to July 2021 were the UK, the US, and Italy. Furthermore, the research collaboration network is more active among developed countries than among developing countries. Three research streams in social innovation in higher education have been identified: curriculum transformation, community-university partnership, and helix partnerships. This study supports understanding how higher education is shaped through social innovation. The results from this study can serve as a research reference on the state of the art and point to new research opportunities, notably on the need to engage developing countries in collaborating on social innovation in higher education through design, engagement, and partnership.
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Subject code	001 ; 300
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Springer Nature
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Corrigendum: Investigating the relationship between hepatitis B virus infection and postpartum depression in Chinese women: a retrospective cohort study.

Huang, Wei / Wu, Xiaoli / Yao, Zhenzhen / Gu, Yingping / Lai, Xin / Meng, Liping / Peng, Songxu

Frontiers in public health

2024 Volume 11, Page(s) 1358590

Abstract: This corrects the article DOI: 10.3389/fpubh.2023.1214151.]. ...

Abstract	[This corrects the article DOI: 10.3389/fpubh.2023.1214151.].
Language	English
Publishing date	2024-01-08
Publishing country	Switzerland
Document type	Published Erratum
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1358590
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Article ; Online: Corrigendum

Wei Huang / Xiaoli Wu / Zhenzhen Yao / Yingping Gu / Xin Lai / Liping Meng / Songxu Peng

Frontiers in Public Health, Vol

Investigating the relationship between hepatitis B virus infection and postpartum depression in Chinese women: a retrospective cohort study

2024 Volume 11

Keywords	postpartum depression ; HBV ; obstetric factors ; EPDS ; PPD ; Public aspects of medicine ; RA1-1270
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatial Confinement of Pt Nanoparticles in Carbon Nanotubes for Efficient and Selective H

Jin, Xiaotao / Yan, Jiaying / Liu, Xiang / Zhang, Qing / Huang, Yingping / Wang, Yanlan / Wang, Changlong / Wu, Yufeng

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

2024 Volume 11, Issue 12, Page(s) e2306893

Abstract: ... ...

Abstract	H
Language	English
Publishing date	2024-01-15
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2808093-2
ISSN	2198-3844 ; 2198-3844
ISSN (online)	2198-3844
ISSN	2198-3844
DOI	10.1002/advs.202306893
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Article ; Online: How Does Entrepreneurial Team Relational Governance Promote Social Start-Ups’ Organizational Resilience?

Yingping Mai / Yenchun Jim Wu / Yu-Min Wang

International Journal of Environmental Research and Public Health, Vol 19, Iss 6677, p

2022 Volume 6677

Abstract: Why are some social entrepreneurial teams able to adapt to challenges and leverage the opportunities that are generated from a crisis, and why can some start-ups achieve sustained growth yet others do not? From the perspective of relational governance, ... ...

Abstract	Why are some social entrepreneurial teams able to adapt to challenges and leverage the opportunities that are generated from a crisis, and why can some start-ups achieve sustained growth yet others do not? From the perspective of relational governance, this study unpacked the mechanism of how entrepreneurial teams promote social start-ups’ abilities to deal with crises and the mediating role of team learning through a survey of 396 social entrepreneurial team members. The results showed four key findings. (1) Trust among entrepreneurial team members has a positive effect on organizational resilience, whereas shared vision and communication-cooperation do not. (2) All the dimensions of relational governance positively promote team learning, and team learning is positively associated with organizational resilience. (3) Team learning mediates the effect of entrepreneurial team relational governance on organizational resilience; specifically, team learning plays a complete intermediary effect on shared vision and communication-cooperation to organizational resilience, whereas it plays a partial intermediary effect on trust in organizational resilience. (4) Team learning is the key factor to organizational resilience, whereas communication-cooperation promotes team learning the most. Practically, to strengthen social start-ups’ organizational resilience, entrepreneurial team members must first improve their understanding of environmental adaptability and then engage in productive and creative dialogues to manage issues, improve team members’ capability in information integration, as well as agree upon the action and activities that should be performed.
Keywords	entrepreneurial team ; social entrepreneurial team relational governance ; organizational resilience ; team learning ; social entrepreneurship ; social start-ups ; Medicine ; R
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: How Does Entrepreneurial Team Relational Governance Promote Social Start-Ups' Organizational Resilience?

Mai, Yingping / Wu, Yenchun Jim / Wang, Yu-Min

International journal of environmental research and public health

2022 Volume 19, Issue 11

Abstract	Why are some social entrepreneurial teams able to adapt to challenges and leverage the opportunities that are generated from a crisis, and why can some start-ups achieve sustained growth yet others do not? From the perspective of relational governance, this study unpacked the mechanism of how entrepreneurial teams promote social start-ups' abilities to deal with crises and the mediating role of team learning through a survey of 396 social entrepreneurial team members. The results showed four key findings. (1) Trust among entrepreneurial team members has a positive effect on organizational resilience, whereas shared vision and communication-cooperation do not. (2) All the dimensions of relational governance positively promote team learning, and team learning is positively associated with organizational resilience. (3) Team learning mediates the effect of entrepreneurial team relational governance on organizational resilience; specifically, team learning plays a complete intermediary effect on shared vision and communication-cooperation to organizational resilience, whereas it plays a partial intermediary effect on trust in organizational resilience. (4) Team learning is the key factor to organizational resilience, whereas communication-cooperation promotes team learning the most. Practically, to strengthen social start-ups' organizational resilience, entrepreneurial team members must first improve their understanding of environmental adaptability and then engage in productive and creative dialogues to manage issues, improve team members' capability in information integration, as well as agree upon the action and activities that should be performed.
MeSH term(s)	Communication ; Organizations
Language	English
Publishing date	2022-05-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph19116677
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Article ; Online: Age at treatment initiation predicts response in children with chronic hepatitis B.

Wu, Xiaoli / Yao, Zhenzhen / Lai, Xin / Gu, Yingping / Peng, Songxu

Alimentary pharmacology & therapeutics

2023 Volume 58, Issue 9, Page(s) 866–873

Abstract: Background: Accumulating evidence suggests that age has a significant impact on disease progression and outcome of hepatitis B virus (HBV) infection. However, its effect on treatment response has not yet been fully elucidated.: Aim: To investigate ... ...

Abstract	Background: Accumulating evidence suggests that age has a significant impact on disease progression and outcome of hepatitis B virus (HBV) infection. However, its effect on treatment response has not yet been fully elucidated. Aim: To investigate the associations of age at treatment initiation with clinical treatment outcomes in children with chronic hepatitis B (CHB). Methods: This study included 306 treatment-naïve children with CHB. Participants were divided into three groups based on the age at which they started antiviral treatment: 1-3 years, 4-6 years and 7-17 years. The primary outcome of this study was HBsAg loss; secondary outcomes included HBeAg clearance and DNA undetectability. Results: Of the 306 subjects, 200 (65.4%) were male. Median (IQR) duration of follow-up was 26 (17, 42) months. There were 139 (45.4%), 79 (25.8%) and 88 (28.6%) of participants in the 1-3 years, 4-6 years and 7-17 years groups, respectively. After adjusting for other covariates, age at treatment initiation was negatively associated with the occurrence of HBsAg loss (1-3 years: HR = 5.07, 95% CI = 2.91-8.82; 4-6 years: HR = 2.42, 95% CI = 1.31-4.46) and HBeAg clearance (1-3 years: HR = 1.73, 95% CI = 1.18-2.53). In addition, we observed linear dose-responses relationships between age at treatment initiation and the probability of HBsAg loss and HBeAg clearance. Conclusions: In children with CHB receiving antiviral treatment, HBsAg loss and HBeAg clearance were frequently observed. Age at treatment initiation can predict treatment response, including HBsAg loss and HBeAg clearance.
MeSH term(s)	Humans ; Male ; Child ; Infant ; Child, Preschool ; Female ; Hepatitis B, Chronic/diagnosis ; Hepatitis B, Chronic/drug therapy ; Hepatitis B Surface Antigens ; Antiviral Agents/therapeutic use ; Hepatitis B e Antigens ; Hepatitis B virus ; Treatment Outcome ; DNA, Viral
Chemical Substances	Hepatitis B Surface Antigens ; Antiviral Agents ; Hepatitis B e Antigens ; DNA, Viral
Language	English
Publishing date	2023-08-17
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	639012-2
ISSN	1365-2036 ; 0269-2813 ; 0953-0673
ISSN (online)	1365-2036
ISSN	0269-2813 ; 0953-0673
DOI	10.1111/apt.17667
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Article ; Online: Extraction and isolation of diphenylheptanes and flavonoids from Alpinia officinarum Hance using supercritical fluid extraction followed by supercritical fluid chromatography.

Wu, Di / Ge, Dandan / Dai, Yingping / Chen, Yanchun / Fu, Qing / Jin, Yu

Journal of separation science

2023 Volume 46, Issue 14, Page(s) e2300156

Abstract: In this paper, an off-line combination method of supercritical fluid extraction and supercritical fluid chromatography was developed for the selective extraction and isolation of diphenylheptanes and flavonoids from Alpinia officinarum Hance. The ... ...

Abstract	In this paper, an off-line combination method of supercritical fluid extraction and supercritical fluid chromatography was developed for the selective extraction and isolation of diphenylheptanes and flavonoids from Alpinia officinarum Hance. The enrichment of target components was successfully achieved using supercritical fluid extraction with the following conditions (8% ethanol as co-solvent at 45°C and 30 MPa for 30 min). Taking full advantage of the complementarity of supercritical fluid chromatography stationary phases, a two-step preparative supercritical fluid chromatography strategy was constructed. The extract was firstly divided into seven fractions on a Diol column (250 × 20 mm internal diameter, 10 μm) within 8 min by gradient elution increasing from 5% to 20% modifier (methanol) at 55 ml/min and 15 MPa. Then the seven fractions were separated by using a 1-AA or a DEA column (250 × 19 mm internal diameter, 5 μm) at 50 ml/min and 13.5 MPa. This two-step strategy showed superior separation ability for structural analogs. As a result, seven compounds, including four diphenylheptanes and three flavonoids with high purity, were successfully obtained. The developed method is also helpful for the extraction and isolation of other structural analogs of traditional Chinese medicines.
MeSH term(s)	Chromatography, Supercritical Fluid/methods ; Alpinia/chemistry ; Flavonoids ; Solvents/chemistry ; Methanol/chemistry
Chemical Substances	Flavonoids ; Solvents ; Methanol (Y4S76JWI15)
Language	English
Publishing date	2023-05-12
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2047990-6
ISSN	1615-9314 ; 1615-9306
ISSN (online)	1615-9314
ISSN	1615-9306
DOI	10.1002/jssc.202300156
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